Application of independent component analysis with semi‐supervised Laplacian regularization kernel density estimation
Sign Up to like & getrecommendations! Published in 2018 at "Canadian Journal of Chemical Engineering"
DOI: 10.1002/cjce.23067
Abstract: In this study, fault detection and fault reconstruction methods are developed using matrix factorization of component vectors obtained with independent component analysis (ICA). Two monitoring statistics are used for fault detection in a detailed analysis… read more here.
Keywords: fault; independent component; semi supervised; analysis ... See more keywords
Joint connectivity matrix independent component analysis: Auto‐linking of structural and functional connectivities
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.26155
Abstract: The study of human brain connectivity, including structural connectivity (SC) and functional connectivity (FC), provides insights into the neurophysiological mechanism of brain function and its relationship to human behavior and cognition. Both types of connectivity… read more here.
Keywords: connectivity; joint connectivity; matrix independent; analysis ... See more keywords
How does Independent Component Analysis Preprocessing Affect EEG Microstates?
Sign Up to like & getrecommendations! Published in 2025 at "Brain Topography"
DOI: 10.1007/s10548-024-01098-4
Abstract: Over recent years, electroencephalographic (EEG) microstates have been increasingly used to investigate, at a millisecond scale, the temporal dynamics of large-scale brain networks. By studying their topography and chronological sequence, microstates research has contributed to… read more here.
Keywords: eeg microstates; brain; topography; microstate ... See more keywords
Independent component analysis with learning algorithm for electrocardiogram feature extraction and classification
Sign Up to like & getrecommendations! Published in 2021 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-020-01813-1
Abstract: Electrocardiogram (ECG) analysis is a conventional way of finding heart abnormality. It is a clinical procedure in which the electrical activity of the heart is measured during every cardiac cycle and checked for healthiness of… read more here.
Keywords: classification; heart; independent component; ecg ... See more keywords
Unveiling local atomic bonding and packing of amorphous nanophases via independent component analysis facilitated pair distribution function
Sign Up to like & getrecommendations! Published in 2021 at "Acta Materialia"
DOI: 10.1016/j.actamat.2021.116932
Abstract: Abstract Amorphous nanophases play a significant role for the properties of a variety of nanoscale heterogeneous materials. Experimental characterization of the atomic arrangement of the amorphous structure, including nanoscale structural variations, is one of the… read more here.
Keywords: amorphous nanophases; component analysis; pair distribution; independent component ... See more keywords
Plane-Wave Ultrasound Beamforming Through Independent Component Analysis
Sign Up to like & getrecommendations! Published in 2021 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2021.106036
Abstract: BACKGROUND AND OBJECTIVE Beamforming in coherent plane-wave compounding (CPWC) is an essential step in maintaining high resolution, contrast and framerate. Adaptive methods have been designed to achieve this goal by estimating the apodization weights from… read more here.
Keywords: plane wave; plane; independent component; component analysis ... See more keywords
Power quality analysis in solar PV integrated microgrid using independent component analysis and support vector machine
Sign Up to like & getrecommendations! Published in 2019 at "Optik"
DOI: 10.1016/j.ijleo.2018.11.041
Abstract: Abstract This paper presents wavelet transform, independent component based detection of the power quality disturbances in a microgrid. Wavelet transform (WT) is well known for its better time-frequency multi-resolution analysis because of selection of adaptive… read more here.
Keywords: analysis; power quality; independent component;
A new method for independent component analysis with priori information based on multi-objective optimization
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2017.03.018
Abstract: BACKGROUND Currently the problem of incorporating priori information into an independent component analysis (ICA) model is often solved under the framework of constrained ICA, which utilizes the priori information as a reference signal to form… read more here.
Keywords: multi objective; method; priori information; independent component ... See more keywords
Multi-source feature extraction of rolling bearing compression measurement signal based on independent component analysis
Sign Up to like & getrecommendations! Published in 2021 at "Measurement"
DOI: 10.1016/j.measurement.2020.108908
Abstract: Abstract With the update of the sampling rate, automation and computation, data volume is increasing, it's critical to reduce the burden on the real-time data processing and remote diagnostics. In this paper, a composite fault… read more here.
Keywords: compression; independent component; rolling bearing; fault diagnosis ... See more keywords
Denoising scanner effects from multimodal MRI data using linked independent component analysis
Sign Up to like & getrecommendations! Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2019.116388
Abstract: Pooling magnetic resonance imaging (MRI) data across research studies, or utilizing shared data from imaging repositories, presents exceptional opportunities to advance and enhance reproducibility of neuroscience research. However, scanner confounds hinder pooling data collected on… read more here.
Keywords: independent component; scanner; linked independent; mri data ... See more keywords
Separating dopamine D2 and D3 receptor sources of [11C]-(+)-PHNO binding potential: Independent component analysis of competitive binding
Sign Up to like & getrecommendations! Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.116762
Abstract: Development of medications selective for dopamine D2 or D3 receptors is an active area of research in numerous neuropsychiatric disorders including addiction and Parkinson's disease. The positron emission tomography (PET) radiotracer [11C]-(+)-PHNO, an agonist that… read more here.
Keywords: independent component; phno binding; 11c phno; receptor ... See more keywords